class_docstr: A dummy gym.spaces.Box environment.
  
  Args:
      random (bool): If observations are randomly generated or not.
      obs_dim (iterable): Observation space dimension.
      action_dim (iterable): Action space dimension.
docstr: Reset the environment.
  
  Returns:
      np.ndarray: The observation obtained after reset.
docstr_tok: ["Reset","the","environment",".","Returns",":","np.ndarray",":","The","observation","obtained","after","reset","."]
code: def reset(self):
      """Reset the environment.
  
      Returns:
          np.ndarray: The observation obtained after reset.
  
      """
      return np.ones(self._obs_dim, dtype=np.float32)
  
file_path: garage/tests/fixtures/envs/dummy/dummy_box_env.py
imports: import akro
  import numpy
  from tests.fixtures.envs.dummy import DummyEnv
label_desc: Use image node_id 4 for calling the DummyBoxEnv obj's underlying member method code with example usage: obj.reset() and returns: np